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Zopflix AI · Agentic AI & intelligent process automation

Your extended business partner for Agentic AI

Full transparency into how it's built. Accountability tied to outcomes you define, not hours we bill. Faster delivery, lower operating cost, less maintenance.

Three entry points

Which of these is the problem you actually have?

Organized by who's looking, not by technology — one consistent methodology runs underneath all three.

CTO / VP Engineering

Keep shipping — keep it standing.

Engineering AI Systems

New systems to design, urgent features to bolt onto what's already live — the requests never stop. We engineer AI and non-AI systems alike, assessing at each step whether AI actually earns its place before we build it in, so what's already running stays healthy through the churn.

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Line-of-business owner

See it. Then automate it.

Agentic Process Automation

Most processes live in people's heads, not documentation. We map what's actually happening today, flag the repeatable steps worth automating, and keep that map current — decision points included — so you can simulate a change before you make it, not after.

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Systems / IT owner

Don't rebuild it — extend it.

Process Optimization / Extension

Most "add this feature" requests turn into "let's rebuild it" — often the expensive, riskier answer. We add the missing capability with AI-assisted development, integrated cleanly into what's already running. FOMO Cabs is the proof: B2B built first, B2C added without touching the core.

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No client logos yet — three things we've actually built

What can you point to that's actually running?

We're a new unit. We don't have a client logo wall yet, and we're not going to invent one. Here's what's real — including where it's scoped narrower than it might sound.

The Multi-agent QA Platform dashboard shown across a laptop and phonesAn internal performance-management dashboard on a laptopThe FOMO Cabs process-optimization platform with a branded cab and analytics

Standing visibility, not periodic reporting

What does “full transparency” actually look like once you've signed?

This is a sample register, not a live client account — but it's the exact structure every engagement runs on: a scope reference, a milestone, and a status that only moves to “Accepted” once you've said so.

Sample engagement — illustrative, not a client accountRef: ZFX-AI-0000
RefMilestoneStatusDate
M-01Scope & success criteria signedScope doc SD-2201, both partiesAcceptedWeek 1
M-02Pilot workflow live in shadow modeInvoice-matching, AP teamAcceptedWeek 4
M-03Accuracy threshold demonstratedMeasured against SD-2201 targetIn reviewWeek 6
M-04Production cutover & handoffMeasured against SD-2201 targetIn reviewWeek 6

Payment is released per milestone, only after the outcome above is demonstrated and accepted — never for “done” on our side alone.

Extended business partner

Three commitments, not a slogan

  1. No.01

    Mutually agreed scope and outcomes

    Every engagement starts with a jointly agreed scope document — what's being built, and the measurable outcome that proves it — signed by both sides before work begins.

  2. No.02

    Payment on demonstrated outcomes

    Payment happens per milestone, only once its outcome is demonstrated and you've accepted it — not simply once the work is “done” from our side.

  3. No.03

    Standing visibility

    An ongoing, live view of what's being built and how it's performing — the register above, not a monthly deck.

Two colleagues reviewing performance charts together on a laptop

One framework, every engagement

How does an engagement actually run, start to finish?

Four stages, in this order, every time — governed by the same milestone and acceptance discipline throughout.

01

Readiness Assessment

1–2 week paid diagnostic identifying which processes are actually AI-ready.

02

Pilot / Design

4–6 weeks, one workflow, built end-to-end and measured against agreed criteria.

03

Implement & Deploy

Milestone-based delivery, paid only on demonstrated, accepted outcomes.

04

Managed Operations

Ongoing retainer — monitoring, tuning, and the same standing visibility, indefinitely.

One framework, every engagement

How does an engagement actually run, start to finish?

Four stages, in this order, every time — governed by the same milestone and acceptance discipline throughout.

  1. 01

    Readiness Assessment

    1–2 week paid diagnostic identifying which processes are actually AI-ready.

  2. 02

    Pilot / Design

    4–6 weeks, one workflow, built end-to-end and measured against agreed criteria.

  3. 03

    Implement & Deploy

    Milestone-based delivery, paid only on demonstrated, accepted outcomes.

  4. 04

    Managed Operations

    Ongoing retainer — monitoring, tuning, and the same standing visibility, indefinitely.

Start with a two-week assessment, not a contract

We'll map which of your processes are AI-ready, what they're worth fixing, and whether building something new or integrating an off-the-shelf solution gets you there faster — before either of us commits to anything larger.

Four colleagues working through a plan together at a table